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IoT Analytics - Data Visualization

Developing online analytic and visual reports for IoT sensor data is of great interest for IoT businesses. This python web app shows how to implement a single web application to read the weather measuremnt data from a data source and plot it in several dynamic charts. The application uses Flask package to create a web page and Chart.js to draw the charts. The charts' data is based on part of Air Quality dataset. Only Dew Point (DEWP) and temperature (TEMP) are considered for the presentation in the charts. Each chart shows the trend of TEMP and DEWP in a specific day over 24 hours.

Requirements:

  • numpy
  • pandas
  • flask

How To Run:

  1. $ python app.py
  2. In the browser, go to http://127.0.0.1:5000/

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